Скачать или смотреть vIK21/IC13 Anna Rafferty: Reinforcement learning in education

Online educational technologies provide opportunities to monitor learners’ knowledge in real time and modify instruction based on learners’ responses. In this talk, I’ll give a brief overview of some of the ways that reinforcement learning has been used to achieve these goals, and then provide a more in-depth discussion of my own work using inverse reinforcement learning to make inferences about learners’ understanding. In this work, we are particularly focused on interpreting learners’ behavior in multi-step tasks, such as games or mathematical problem solving, and we combine ideas from machine learning and computational cognitive modeling. Our approach offers the potential to provide feedback about learners’ strategies and misunderstandings based on their pattern of interactions. Overall, the talk will argue that work in reinforcement learning for education has the potential to create smarter educational resources and that taking an interdisciplinary perspective suggests new insights and approaches.